List of the Top 6 Photogrammetry Software for Linux in 2025

VisualSFM is a convenient application that facilitates the creation of 3D models using a technique known as structure from motion (SFM). This software integrates components from several previous projects I've been involved with, such as SIFT on GPU (SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. By utilizing multicore parallel processing, VisualSFM significantly boosts the speed and effectiveness of processes like feature detection, feature matching, and bundle adjustment. Furthermore, for achieving dense reconstruction, it effectively incorporates Yasutaka Furukawa's PMVS/CMVS toolchain, which enhances the quality of the final output. The combination of these diverse tools and methodologies positions VisualSFM as an invaluable asset for individuals working on 3D reconstruction endeavors. Whether you are a novice or an expert, this application provides the resources necessary to streamline the modeling process.

Avica offers a cloud-driven platform specializing in 3D photogrammetry. Avica Cloud enables users to efficiently schedule substantial machinery, facilitating exceptional service quality along with an economical cloud solution for reconstructing real-world environments in three dimensions. This approach promises significant savings in both time and costs for clients. Moreover, the pay-as-you-go model eliminates the need for any licensing fees, making it a flexible option for various users.

Developing a C++ framework to bolster the understanding of 3D reconstruction techniques from images and photogrammetry can significantly enhance research reproducibility through a clear and precise implementation of both modern and classical algorithms. OpenMVG has been designed with user-friendliness in mind, ensuring that users can easily read, learn, modify, and apply the framework effectively. With a strong emphasis on test-driven development and a wealth of comprehensive examples, this library equips users with the tools necessary to build dependable large-scale systems. OpenMVG provides an all-encompassing framework for 3D reconstruction utilizing images, featuring a range of libraries, executables, and processing pipelines integral to the process. These libraries offer easy access to capabilities such as image manipulation, feature description and matching, camera modeling, feature tracking, robust estimation, and multiple-view geometry. The executables are tailored for specific pipeline tasks, encompassing scene initialization, feature detection, matching, and the structure-from-motion reconstruction process. Moreover, OpenMVG's adaptability and extensive functionality make it an indispensable resource for both newcomers and experienced researchers alike, fostering innovation and exploration in the realm of 3D reconstruction. The framework's emphasis on accessibility and versatility encourages collaboration and the sharing of knowledge among users at all levels.

Agisoft Metashape is a standalone software tool that facilitates the photogrammetric examination of digital images, generating 3D spatial data useful in various fields, including GIS, cultural heritage documentation, visual effects, and object measurement across different scales. Those who establish an Agisoft Account can utilize the Agisoft Cloud platform, which offers cloud-based processing capabilities. This functionality allows users to transfer their projects to the cloud, thereby minimizing the need for substantial investments in photogrammetry hardware. Features also include online visualization of processing results, the ability to share outcomes, and tools for creating embedded codes that integrate models into websites without hassle. The service operates on a subscription model for storage, with processing time charged by the minute, providing flexibility to meet the unique demands of various projects. Users can find that this payment structure aids in cost management while enhancing the effectiveness of their photogrammetric processes. As a result, Agisoft Metashape not only streamlines workflows but also enables users to focus on their creative output without the burden of extensive technical requirements.

The procedure for creating a detailed textured mesh from still images using Meshroom is explained, with Meshroom functioning as a 3D reconstruction tool that operates on the open-source Photogrammetric Computer Vision Framework called AliceVision. To increase the effectiveness of SIFT feature extraction in challenging images, alterations to the default configurations are implemented, which includes the addition of new filters and the application of a DSP-SIFT variation. In addition, a novel post-processing method enhances mesh quality by filtering the status of cells—designating them as either empty or full—based on solid angle ratios, resulting in a more refined appearance. Users operating on specific systems, particularly Ubuntu, may face compatibility challenges between native drivers and Mesa drivers, which could lead to a display issue characterized by an empty black screen. It is crucial to note that AliceVision prioritizes user privacy by refraining from collecting or sharing any personal or system-related information without prior consent. Furthermore, this website employs Google Analytics to gather session data on page views, using this information solely to understand user engagement with the website and the broader AliceVision project, thereby enhancing user experience. This dual commitment to functionality and privacy underscores the importance placed on user satisfaction and the reliability of the software while promoting continuous improvements in the platform. Overall, these measures exemplify the dedication to creating a seamless and trustworthy experience for all users.

We create a detailed software solution focused on 3D reconstruction, photomodeling, and camera tracking. Our goal is to build a solid software base that leverages the latest computer vision algorithms, enabling thorough testing, analysis, and repurposing. Partnerships between academic institutions and the industry are crucial to delivering sophisticated algorithms that uphold the necessary robustness and quality throughout the visual effects and filmmaking stages. The field of photogrammetry, which is concerned with obtaining measurements from photographs, reconstructs the spatial layout of a scene using a series of disorganized images or videos. While conventional photography captures a three-dimensional environment and flattens it onto a two-dimensional plane, resulting in diminished depth perception, photogrammetry aims to recover this lost depth information. By combining two prominent computer vision techniques—“Structure-from-Motion” (SfM) and “Multi View Stereo” (MVS)—we achieve a comprehensive representation of the scene, as these methods collaborate to form a unified model. This sophisticated process not only improves the precision of reconstructions but also plays a vital role in driving innovation across various visual media applications, ultimately pushing the boundaries of what is possible in digital imagery.